Resolvent comparison for Hermitian block matrices and Kelmans transformations
Abstract
A Kelmans transformation increases or preserves the largest eigenvalue of a symmetric nonnegative matrix. We determine when this comparison holds for Hermitian block extensions with a fixed coupling and an arbitrary common complementary block. An orthogonal change of basis and Schur complementation give an exact formula for the compressed resolvent difference as a difference of two rank-one matrices. This formula characterizes admissible coupling subspaces by proportionality of projected resolvent vectors. Polynomial coefficient kernels describe all such subspaces, and cyclic subspaces give dimension bounds and a maximum-dimension result for a two-block family. We also prove a general block comparison theorem and give monotonicity and equality criteria for nonnegative rank-one couplings. Applications concern graph joins, complex attachments, and Hermitian adjacency matrices.
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BibTeX
@misc{meng2026resolvent,
title = {{Resolvent comparison for Hermitian block matrices and Kelmans transformations}},
author = {Xianhao Meng and Zhijun Xu and Zhiyuan Zhang},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.04688},
eprint = {2611.04688},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.04688},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Resolvent comparison for Hermitian block matrices and Kelmans transformations
AU - Xianhao Meng
AU - Zhijun Xu
AU - Zhiyuan Zhang
PY - 2026
DA - 2026/11/03
PB - arXiv
DO - 10.48550/arxiv.2611.04688
UR - https://arxiv.org/abs/2611.04688
AB - A Kelmans transformation increases or preserves the largest eigenvalue of a symmetric nonnegative matrix. We determine when this comparison holds for Hermitian block extensions with a fixed coupling and an arbitrary common complementary block. An orthogonal change of basis and Schur complementation give an exact formula for the compressed resolvent difference as a difference of two rank-one matrices. This formula characterizes admissible coupling subspaces by proportionality of projected resolvent vectors. Polynomial coefficient kernels describe all such subspaces, and cyclic subspaces give dimension bounds and a maximum-dimension result for a two-block family. We also prove a general block comparison theorem and give monotonicity and equality criteria for nonnegative rank-one couplings. Applications concern graph joins, complex attachments, and Hermitian adjacency matrices.
ER -